Staff Applied Data Scientist, Agentic AI

Emergence AI; Irvine (CA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Flexible PTO and holidays

Flexible hybrid/remote work

Job summary

Emergence AI is seeking a Staff Applied Data Scientist in Irvine, CA to define how AI agents investigate enterprise data, explain reasoning, and support better business decisions. You will combine statistical modeling, machine learning, and LLM-powered workflows to transform messy enterprise data into intelligent systems that uncover insights and actionable recommendations.

This hands-on role carries significant technical ownership: you’ll take customer problems from discovery through production

Qualifications

• Significant experience building production machine learning or applied data science systems.
• Strong Python skills and experience with modern machine learning and data science libraries.
• Deep expertise in statistical modeling, machine learning, experimentation, and model evaluation.
• Experience working with large, complex enterprise or operational datasets.
• A track record of taking ambiguous technical problems from discovery through production deployment.

Responsibilities

• Build the statistical and machine learning capabilities that power autonomous AI agents operating on complex enterprise data.
• Design models for anomaly detection, forecasting, optimization, root-cause analysis, and decision support.
• Analyze large, multi-source enterprise datasets spanning structured, unstructured, operational, and time-series data.
• Partner with AI engineers to build agentic workflows that can query data, evaluate evidence, generate insights, and support customer decisions.
• Translate ambiguous customer challenges into scalable, production-ready AI solutions.
• Develop reusable analytical capabilities that become core platform features used across multiple customer deployments.
• Establish best practices for experimentation, model evaluation, governance, and operational reliability.
• Mentor engineers and data scientists while helping raise the technical bar across the organization.

Skills

Production ML systems

Python programming

Statistical modeling

Experimentation & evaluation

Communication skills

Mentoring

Cloud platforms

Tools

Python libraries

Cloud platforms (AWS/GCP/Azure)

MLOps tooling

Job description

Staff Applied Data Scientist, Agentic AI

Irvine, CA

About Emergence AI

Emergence AI is building AI agents that don't just generate answers—they investigate, reason, and help organizations make better decisions.

Our platform enables enterprises to deploy intelligent agents that understand complex data, collaborate across business systems, and automate high-value work with the transparency, traceability, and reliability required for production environments.

Most AI generates answers. We're solving the harder problem: building AI systems organizations can trust with real work. That means developing agents that can evaluate evidence, explain their reasoning, learn from feedback, and operate reliably when the stakes are high.

Founded by veterans of IBM Research, Google, Microsoft, and Amazon, we're a small team of researchers, engineers, and builders working at the intersection of frontier AI research and real-world customer challenges. Everyone owns meaningful work, collaborates directly with customers, and helps shape the future of our platform.

About the Role

We're looking for a Staff Applied Data Scientist to help define how AI agents investigate enterprise data, explain their reasoning, and support better business decisions. You'll combine statistical modeling, machine learning, and LLM-powered workflows to solve complex customer problems from end to end, working alongside AI engineers, researchers, product teams, and customers to transform messy enterprise data into intelligent systems that uncover insights and recommend meaningful actions.

This is a highly hands-on Staff-level role with significant technical ownership. You'll own customer problems from discovery through production deployment, helping build reusable capabilities that become core components of Emergence AI's platform.

You'll

• Build the statistical and machine learning capabilities that power autonomous AI agents operating on complex enterprise data.
• Design models for anomaly detection, forecasting, optimization, root-cause analysis, and decision support.
• Analyze large, multi-source enterprise datasets spanning structured, unstructured, operational, and time-series data.
• Partner with AI engineers to build agentic workflows that can query data, evaluate evidence, generate insights, and support customer decisions.
• Translate ambiguous customer challenges into scalable, production-ready AI solutions.
• Develop reusable analytical capabilities that become core platform features used across multiple customer deployments.
• Establish best practices for experimentation, model evaluation, governance, and operational reliability.
• Mentor engineers and data scientists while helping raise the technical bar across the organization.

You'll Have

• Significant experience building production machine learning or applied data science systems.
• Strong Python skills and experience with modern machine learning and data science libraries.
• Deep expertise in statistical modeling, machine learning, experimentation, and model evaluation.
• Experience working with large, complex enterprise or operational datasets.
• A track record of taking ambiguous technical problems from discovery through production deployment.
• Excellent communication skills with the ability to explain complex technical concepts to engineers, customers, and executive stakeholders.
• A collaborative mindset and passion for mentoring others while continuing to learn and grow.

Bonus Points

• Experience building AI agents, LLM-powered applications, or RAG and tool-calling workflows.
• Experience with agent frameworks such as LangGraph, CrewAI, AutoGen, ADK, or similar technologies.
• Experience with model evaluation, observability, or human feedback systems.
• Experience with modern cloud and data platforms such as AWS, GCP, Azure, Databricks, Snowflake, Spark, or Kubernetes.

Emergence AI offers competitive compensation.

Comprehensive health benefits including medical, dental and vision.

401(k) with company match.

Flexible PTO and company holidays.

Flexible hybrid/remote work environment.

The opportunity to work at the forefront of technological advancement.

Compensation Range: $180K - $300K